Benjamín Gutiérrez-Serafín, Humberto Pérez Espinosa, Ismael Edrein Espinosa-Curiel, P. Figueroa-García, Edgar Efrén Pozas-Bogarín, Juan Martínez-Miranda
In this article, we present a method for automatic estimation of children energy expenditure during playing sessions with exergames,
在本文中，我们提出了一种自动估计儿童在玩exergames期间能量消耗的方法。
{"title":"Estimación automática del gasto energético de la actividad física de niños en videojuegos de ejercicio con el sensor Kinect","authors":"Benjamín Gutiérrez-Serafín, Humberto Pérez Espinosa, Ismael Edrein Espinosa-Curiel, P. Figueroa-García, Edgar Efrén Pozas-Bogarín, Juan Martínez-Miranda","doi":"10.13053/rcs-148-8-20","DOIUrl":"https://doi.org/10.13053/rcs-148-8-20","url":null,"abstract":"In this article, we present a method for automatic estimation of children energy expenditure during playing sessions with exergames,","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132044566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miguel-Angel Ortega-Palacios, Josefina Guerrero García, J. González-Calleros
In the literature, several works are reported about the gait of bipedal robots. Some papers are associated with stability or automatic learning and navigation, but no paper was found that includes the variables of bipedal gait, stability, navigation and automatic learning, all applied in an indoor bipedal robot. Our objective is, after the analysis of the state of the art, to propose a methodology that will allow the autonomous navigation of a bipedal robot and validate its degree of autonomy with respect to the evaluation metrics reported in the literature.
{"title":"Towards the Development of a Navigation System for a Bipedal Robot: Preliminary Analysis of the Literature","authors":"Miguel-Angel Ortega-Palacios, Josefina Guerrero García, J. González-Calleros","doi":"10.13053/rcs-148-9-4","DOIUrl":"https://doi.org/10.13053/rcs-148-9-4","url":null,"abstract":"In the literature, several works are reported about the gait of bipedal robots. Some papers are associated with stability or automatic learning and navigation, but no paper was found that includes the variables of bipedal gait, stability, navigation and automatic learning, all applied in an indoor bipedal robot. Our objective is, after the analysis of the state of the art, to propose a methodology that will allow the autonomous navigation of a bipedal robot and validate its degree of autonomy with respect to the evaluation metrics reported in the literature.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134200475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Isaac Machorro-Cano, G. Alor-Hernández, J. O. Olmedo-Aguirre, L. Rodríguez-Mazahua, M. J. G. Ozuna
. In the Internet of Things (IoT) ecosystem, multiple smart devices communicate among them and with people. Similarly, they are primarily characterized by remarkable detection and processing capabilities. On the other hand, a service composition (SC) task involves performing the orchestration or choreography of services. SC is frequently studied in the context of Web services (WS), where a series of standards have been developed and used in real-world implementations to support SC. Unfortunately, these standards are inadequate in the IoT paradigm, since IoT devices are based on data/events and the resources are restricted. This research work proposes the design of a language for IoT SC, while simultaneously discussing important literature on SC, business process, IoT service orchestration, and IoT service choreography. Finally, as a proof-of-concept, we present a case study of IoT service composition in the healthcare domain for patients with overweight or obesity.
{"title":"Design of a Language for IoT Service Composition","authors":"Isaac Machorro-Cano, G. Alor-Hernández, J. O. Olmedo-Aguirre, L. Rodríguez-Mazahua, M. J. G. Ozuna","doi":"10.13053/rcs-148-4-4","DOIUrl":"https://doi.org/10.13053/rcs-148-4-4","url":null,"abstract":". In the Internet of Things (IoT) ecosystem, multiple smart devices communicate among them and with people. Similarly, they are primarily characterized by remarkable detection and processing capabilities. On the other hand, a service composition (SC) task involves performing the orchestration or choreography of services. SC is frequently studied in the context of Web services (WS), where a series of standards have been developed and used in real-world implementations to support SC. Unfortunately, these standards are inadequate in the IoT paradigm, since IoT devices are based on data/events and the resources are restricted. This research work proposes the design of a language for IoT SC, while simultaneously discussing important literature on SC, business process, IoT service orchestration, and IoT service choreography. Finally, as a proof-of-concept, we present a case study of IoT service composition in the healthcare domain for patients with overweight or obesity.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134224412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oscar Enrique Callejas Melgoza, M. Moreno, Kevin Alberto Luna González, Raul Lara Granillo, M. Hernández
{"title":"Diseño de una aplicación móvil para la solución de ecuaciones cuadráticas en una variable","authors":"Oscar Enrique Callejas Melgoza, M. Moreno, Kevin Alberto Luna González, Raul Lara Granillo, M. Hernández","doi":"10.13053/rcs-148-2-7","DOIUrl":"https://doi.org/10.13053/rcs-148-2-7","url":null,"abstract":"","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133385018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ignacio Martínez Rojas, Mayra Pérez Robledo, Francisco De la Rosa, Pedro Arguijo
In this work a methodology is proposed through the use of techniques based on structured light projection, allowing the measurement of 3D points belonging to the object under test. The metrological system is calibrated from a set of images that have a displacement pattern. The depth calculation is carried out using a minimum square adjustment in which it is calibrated by means of a series of images referring to planes. The first two being those corresponding to width and height, the third is the one that determines the depth.
{"title":"Reconstrucción tridimensional de objetos mediante el uso de luz estructurada","authors":"Ignacio Martínez Rojas, Mayra Pérez Robledo, Francisco De la Rosa, Pedro Arguijo","doi":"10.13053/rcs-148-8-7","DOIUrl":"https://doi.org/10.13053/rcs-148-8-7","url":null,"abstract":"In this work a methodology is proposed through the use of techniques based on structured light projection, allowing the measurement of 3D points belonging to the object under test. The metrological system is calibrated from a set of images that have a displacement pattern. The depth calculation is carried out using a minimum square adjustment in which it is calibrated by means of a series of images referring to planes. The first two being those corresponding to width and height, the third is the one that determines the depth.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124446330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yesenia N. González-Meneses, Josefina Guerrero García, C. A. R. García, Iván Olmos, J. González-Calleros
. This paper presents a methodological proposal for automatic identification of emotions in educational environments using machine learning algorithms and physiological and behavioral signal acquisition technologies to identify relations between emotions and learning. Four of the main learning-centered emotions are considered [1]: engagement, boredom, confusion and frustration. It is proposed to make a fusion of data from two physiological and behavioral signal acquisition technologies with the objective of achieving the identification of emotions in the most precise manner. Therefore, considering the stages of the proposed methodology, the first of them is presented and the design of the experiment that will be executed for data collection. The development of an appropriate database with elements belonging to a learning environment for the study of emotions is an essential task.
{"title":"Methodology for Automatic Identification of Emotions in Learning Environments","authors":"Yesenia N. González-Meneses, Josefina Guerrero García, C. A. R. García, Iván Olmos, J. González-Calleros","doi":"10.13053/rcs-148-5-10","DOIUrl":"https://doi.org/10.13053/rcs-148-5-10","url":null,"abstract":". This paper presents a methodological proposal for automatic identification of emotions in educational environments using machine learning algorithms and physiological and behavioral signal acquisition technologies to identify relations between emotions and learning. Four of the main learning-centered emotions are considered [1]: engagement, boredom, confusion and frustration. It is proposed to make a fusion of data from two physiological and behavioral signal acquisition technologies with the objective of achieving the identification of emotions in the most precise manner. Therefore, considering the stages of the proposed methodology, the first of them is presented and the design of the experiment that will be executed for data collection. The development of an appropriate database with elements belonging to a learning environment for the study of emotions is an essential task.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131916274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edgar Gonzalo Cossio Franco, Jorge Alberto Delgado Cazarez, Daniel Noel Torres Godoy
Companies that seek to certify their processes do so with the aim of guaranteeing quality, although few seek it and least of all do so. CMMI is a model that certifies the maturity of the development of products and services. The present work has two proposals: the first is a tool in Java that determines when a client company is apt or not to a CMMI certification and the second is an intelligent analysis model based on machine learning that determines, from predictions, scenarios for decision making.
{"title":"Predictive Model as a Tool for Acquiring a Certification for Client Companies and Certifying Entities with Machine Learning","authors":"Edgar Gonzalo Cossio Franco, Jorge Alberto Delgado Cazarez, Daniel Noel Torres Godoy","doi":"10.13053/rcs-148-6-16","DOIUrl":"https://doi.org/10.13053/rcs-148-6-16","url":null,"abstract":"Companies that seek to certify their processes do so with the aim of guaranteeing quality, although few seek it and least of all do so. CMMI is a model that certifies the maturity of the development of products and services. The present work has two proposals: the first is a tool in Java that determines when a client company is apt or not to a CMMI certification and the second is an intelligent analysis model based on machine learning that determines, from predictions, scenarios for decision making.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133624901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eduardo Chandomí-Castellanos, E. N. Escobar-Gómez, Sabino Velázquez-Trujillo, Héctor R. Hernández De León, Madaín Pérez Patricio, Carlos Pérez
{"title":"Modelo para la determinación de la ruta más corta con funciones experimentales para arcos difusos","authors":"Eduardo Chandomí-Castellanos, E. N. Escobar-Gómez, Sabino Velázquez-Trujillo, Héctor R. Hernández De León, Madaín Pérez Patricio, Carlos Pérez","doi":"10.13053/rcs-148-8-24","DOIUrl":"https://doi.org/10.13053/rcs-148-8-24","url":null,"abstract":"","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133398521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edoardo Bucheli-Susarrey, Miguel González-Mendoza, Oscar Herrera-Alcántara
The Keyword Detection problem consists in localizing a small vocabulary of words embedded in some stream of audio. Keyword Detection constantly runs in the background of many mobile devices and thus it becomes a requirement to create models with a small memory footprint and low computational power. Using the Simple Speech Commands Detection data set, we present a comparative study using two types of layers. Hand-Engineered layers are created from audio feature extraction models based on the Fourier Transform and Mel Filterbanks. Learned layers belong to the Deep Learning literature and include dense layers, recurrent layers and convolutional layers. Using the Deep Learning Pipeline, we organize these layers to solve the problem.
{"title":"Detección de comandos de voz con modelos compactos de aprendizaje profundo","authors":"Edoardo Bucheli-Susarrey, Miguel González-Mendoza, Oscar Herrera-Alcántara","doi":"10.13053/rcs-148-7-26","DOIUrl":"https://doi.org/10.13053/rcs-148-7-26","url":null,"abstract":"The Keyword Detection problem consists in localizing a small vocabulary of words embedded in some stream of audio. Keyword Detection constantly runs in the background of many mobile devices and thus it becomes a requirement to create models with a small memory footprint and low computational power. Using the Simple Speech Commands Detection data set, we present a comparative study using two types of layers. Hand-Engineered layers are created from audio feature extraction models based on the Fourier Transform and Mel Filterbanks. Learned layers belong to the Deep Learning literature and include dense layers, recurrent layers and convolutional layers. Using the Deep Learning Pipeline, we organize these layers to solve the problem.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"424 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115250285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lourdes Sánchez-Guerrero, J. F. González, B. González-Beltrán, S. González-Brambila
. This work presents an evaluation of the predictive techniques decision trees using CART algorithm, Na¨ıve Bayes Classifier, Gradient Boosting Machine and Support Vector Machine for predicting whether a student will successfully complete a programming course or not. Factors considered for prediction were university-entrance and personal criteria like entrance age, gender, scholarship, high school GPA, mark in admission exam and other related with student’s performance in a pre-requisite introductory programming course. The predicted variable takes two values, ‘Approved’ or ‘Not Approved’, and the data record contains an unbalanced portion of the class ’Approved’. For the analysis were considered two data sets, unbalanced and balanced. Evaluation of algorithms was performed considering the concepts of accuracy and ROC area. Results show that accuracy is bigger for the unbalanced data set, but its ROC area was very poor. Using the balanced data set, results were more reliable because accuracy and ROC area are closer. Best results were obtained with Na¨ıve Bayes and Support Vector Machine algorithms. The most important factor in the prediction was whether a student had a scholarship or not.
{"title":"Evaluating Predictive Techniques in Educational Data Mining: An Unbalanced Data Set Case of Study","authors":"Lourdes Sánchez-Guerrero, J. F. González, B. González-Beltrán, S. González-Brambila","doi":"10.13053/rcs-148-3-4","DOIUrl":"https://doi.org/10.13053/rcs-148-3-4","url":null,"abstract":". This work presents an evaluation of the predictive techniques decision trees using CART algorithm, Na¨ıve Bayes Classifier, Gradient Boosting Machine and Support Vector Machine for predicting whether a student will successfully complete a programming course or not. Factors considered for prediction were university-entrance and personal criteria like entrance age, gender, scholarship, high school GPA, mark in admission exam and other related with student’s performance in a pre-requisite introductory programming course. The predicted variable takes two values, ‘Approved’ or ‘Not Approved’, and the data record contains an unbalanced portion of the class ’Approved’. For the analysis were considered two data sets, unbalanced and balanced. Evaluation of algorithms was performed considering the concepts of accuracy and ROC area. Results show that accuracy is bigger for the unbalanced data set, but its ROC area was very poor. Using the balanced data set, results were more reliable because accuracy and ROC area are closer. Best results were obtained with Na¨ıve Bayes and Support Vector Machine algorithms. The most important factor in the prediction was whether a student had a scholarship or not.","PeriodicalId":220522,"journal":{"name":"Res. Comput. Sci.","volume":"799 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117044136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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